scholarly journals Establishment of a longitudinal growth chart corresponding to pubertal timing

2018 ◽  
Vol 27 (4) ◽  
pp. 215-224 ◽  
Author(s):  
Keisuke Yoshii ◽  
Toshiaki Tanaka
Keyword(s):  
Pubertal Timing ◽  
Longitudinal Growth ◽  
Growth Chart

scholarly journals OP04.04: Customised and longitudinal growth chart of twins compared to singleton pregnancies

2021 ◽  
Vol 58 (S1) ◽  
pp. 70-70
Author(s):  
G. Albaiges ◽  
I. Rodríguez ◽  
M. Echevarria ◽  
M. Rodríguez ◽  
P. Prats ◽  
...  
Keyword(s):  
Longitudinal Growth ◽  
Growth Chart ◽  
Singleton Pregnancies

Some comparative aspects of a longitudinal growth study in normal spanish children and other longitudinal studies

1986 ◽  
Vol 113 (4_Suppl) ◽  
pp. S93-S97 ◽  
Author(s):  
A. FERRANDEZ ◽  
E. MAYAYO ◽  
M. RODRIGUEZ ◽  
J.M. ARNAL ◽  
J. CARO ◽  
...  
Keyword(s):  
Longitudinal Studies ◽  
Environmental Conditions ◽  
Regional Differences ◽  
Longitudinal Growth ◽  
Growth Study ◽  
Growth Studies ◽  
Different Populations ◽  
Catch Up

Abstract The differences existing among some european longitudinal growth studies make it necessary to be cautious in the use of standards constructed on different populations. The improvement of the environmental conditions during the last 20 years is probably the most important cause of the "catch-up" phenomenon of the spanish stature. It is probable that racial characteristics also play a role, even in the same country as can be appreciated on comparing two spanish longitudinal studies based on children originary from different regions. All of wich indicates the need to use own standards in those countries wich, like ours, have lived through a period of intenses changes. Even exploratory studies of regional differences in the same country seem necesary.

scholarly journals The role of pubertal timing in the link between family history of alcohol use disorder and late adolescent substance use

2020 ◽  
Vol 210 ◽  
pp. 107955
Author(s):  
Alexander S. Weigard ◽  
Jillian E. Hardee ◽  
Robert A. Zucker ◽  
Mary M. Heitzeg ◽  
Adriene M. Beltz
Keyword(s):  
Substance Use ◽  
Family History ◽  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Pubertal Timing ◽  
Adolescent Substance Use ◽  
Late Adolescent ◽  
Adolescent Substance ◽  
History Of

Identifying longitudinal-growth patterns from infancy to childhood: a study comparing multiple clustering techniques

2021 ◽  
Author(s):  
Paraskevi Massara ◽  
Charles D G Keown-Stoneman ◽  
Lauren Erdman ◽  
Eric O Ohuma ◽  
Celine Bourdon ◽  
...  
Keyword(s):  
Latent Class ◽  
Growth Patterns ◽  
Pattern Detection ◽  
Distance Measures ◽  
Longitudinal Growth ◽  
Important Health ◽  
Modelling Techniques ◽  
Different Populations ◽  
Growth Features ◽  
Time Invariant

Abstract Background Most studies on children evaluate longitudinal growth as an important health indicator. Different methods have been used to detect growth patterns across childhood, but with no comparison between them to evaluate result consistency. We explored the variation in growth patterns as detected by different clustering and latent class modelling techniques. Moreover, we investigated how the characteristics/features (e.g. slope, tempo, velocity) of longitudinal growth influence pattern detection. Methods We studied 1134 children from The Applied Research Group for Kids cohort with longitudinal-growth measurements [height, weight, body mass index (BMI)] available from birth until 12 years of age. Growth patterns were identified by latent class mixed models (LCMM) and time-series clustering (TSC) using various algorithms and distance measures. Time-invariant features were extracted from all growth measures. A random forest classifier was used to predict the identified growth patterns for each growth measure using the extracted features. Results Overall, 72 TSC configurations were tested. For BMI, we identified three growth patterns by both TSC and LCMM. The clustering agreement was 58% between LCMM and TS clusters, whereas it varied between 30.8% and 93.3% within the TSC configurations. The extracted features (n = 67) predicted the identified patterns for each growth measure with accuracy of 82%–89%. Specific feature categories were identified as the most important predictors for patterns of all tested growth measures. Conclusion Growth-pattern detection is affected by the method employed. This can impact on comparisons across different populations or associations between growth patterns and health outcomes. Growth features can be reliably used as predictors of growth patterns.

Longitudinal growth study of Tasmanian children, 1967–1983: The 13‐, 14‐ and 15‐year‐old girls

1986 ◽  
Vol 144 (13) ◽  
pp. 677-679 ◽  
Author(s):  
Johanna F. Coy ◽  
Robert K. Lowry ◽  
David A. Ratkowsky
Keyword(s):  
Longitudinal Growth ◽  
Growth Study

scholarly journals Psychobiological risk factors for suicidal thoughts and behaviors in adolescence: a consideration of the role of puberty

2021 ◽  
Author(s):  
Tiffany C. Ho ◽  
Anthony J. Gifuni ◽  
Ian H. Gotlib
Keyword(s):  
Pubertal Timing ◽  
Anterior Cingulate ◽  
Neural Systems ◽  
Hormonal Changes ◽  
Suicidal Thoughts ◽  
Social Stressors ◽  
And Behaviors ◽  
Suicidal Thoughts And Behaviors ◽  
Pubertal Transition

AbstractSuicide is the second leading cause of death among adolescents. While clinicians and researchers have begun to recognize the importance of considering multidimensional factors in understanding risk for suicidal thoughts and behaviors (STBs) during this developmental period, the role of puberty has been largely ignored. In this review, we contend that the hormonal events that occur during puberty have significant effects on the organization and development of brain systems implicated in the regulation of social stressors, including amygdala, hippocampus, striatum, medial prefrontal cortex, orbitofrontal cortex, and anterior cingulate cortex. Guided by previous experimental work in adults, we also propose that the influence of pubertal hormones and social stressors on neural systems related to risk for STBs is especially critical to consider in adolescents with a neurobiological sensitivity to hormonal changes. Furthermore, facets of the pubertal transition, such as pubertal timing, warrant deeper investigation and may help us gain a more comprehensive understanding of sex differences in the neurobiological and psychosocial mechanisms underlying adolescent STBs. Ultimately, advancing our understanding of the pubertal processes that contribute to suicide risk will improve early detection and facilitate the development of more effective, sex-specific, psychiatric interventions for adolescents.

A new type of pubertal height reference based on growth aligned for onset of pubertal growth

2020 ◽  
Vol 33 (9) ◽  
pp. 1173-1182
Author(s):  
Kerstin G. Albertsson-Wikland ◽  
Aimon Niklasson ◽  
Anton Holmgren ◽  
Lars Gelander ◽  
Andreas F.M. Nierop
Keyword(s):  
Pubertal Timing ◽  
Age At Onset ◽  
Individual Growth ◽  
Growth Spurt ◽  
Growth Monitoring ◽  
Total Height ◽  
Pubertal Growth ◽  
Longitudinal Length ◽  
New Type ◽  
Growth References

AbstractObjectivesGrowth references of today traditionally describe growth in relation to chronological age. Despite the broad variation in age of pubertal maturation, references related to biological age are lacking. To fill this knowledge gap, we aimed to develop a new type of pubertal height reference for improved growth evaluation during puberty, considering individual variation in pubertal timing.MethodsLongitudinal length/height measures were obtained from birth to adult height in 1,572 healthy Swedish children (763 girls) born at term ∼1990 to nonsmoking mothers and Nordic parents, a subgroup of GrowUp1990Gothenburg cohort. A total height reference was constructed from Quadratic-Exponential-Puberty-Stop (QEPS)-function-estimated heights from individual height curves that had been aligned for time/age at onset of pubertal growth (5% of P-function growth). References that separated growth into specific pubertal heightSDS (P-function growth) and basic heightSDS (QES-function growth) were also generated.ResultsReferences (cm and SDS) are presented for total height, and height subdivided into that specific to puberty and to basic growth arising independently of puberty. The usefulness of the new pubertal growth reference was explored by identifying differences in the underlying growth functions that translate into differences in pubertal height gain for children of varying body mass, height, and with different pubertal timings.ConclusionsA new type of height reference allowing alignment of individual growth curves, based on the timing of the pubertal growth spurt was developed using QEPS-model functions. This represents a paradigm shift in pubertal growth research and growth monitoring during the adolescent period.

Family Experiences and Parent Personality as Antecedents of Pubertal Timing in Girls and Boys

2021 ◽  
Author(s):  
Lisabeth F. DiLalla ◽  
Holly T. Pham ◽  
Robin P. Corley ◽  
Sally Wadsworth ◽  
Sheri A. Berenbaum
Keyword(s):  
Pubertal Timing ◽  
Family Experiences ◽  
Parent Personality

Isolated premature menarche in two siblings with Neurofibromatosis type 1

2020 ◽  
Vol 33 (6) ◽  
pp. 813-816
Author(s):  
James Blackburn ◽  
Mohammed Didi ◽  
Shivaram Avula ◽  
Senthil Senniappan
Keyword(s):  
Neurofibromatosis Type 1 ◽  
Pubertal Timing ◽  
Genetic Disorder ◽  
Pubertal Development ◽  
Neurofibromatosis Type ◽  
Malignant Tumours ◽  
Peripheral Tissues ◽  
Paediatric Endocrinology ◽  
The Central Nervous System

AbstractObjectivesNeurofibromatosis type 1 (NF1) is an autosomal dominant genetic disorder, caused by mutation in NF1. The condition is typified by the development of benign and malignant tumours in both the central nervous system and peripheral tissues. Isolated menarche is a sub-classification of incomplete isosexual precocious puberty typified by menarche in girls with no other features of pubertal development. The effects of NF1 on pubertal timing are poorly understood, we report two siblings with NF1 and apparent abnormal pubertal development.Case PresentationTwo siblings were referred to the tertiary paediatric endocrinology clinic at 6 and 7 years of age with recurrent, cyclical vaginal bleeding. There was a strong family history of NF1, the mother of the siblings and two brothers were also diagnosed at a young age. On examination both patients were prepubertal at presentation. Both siblings underwent a gonadotrophin releasing hormone test, which revealed a follicle-stimulating hormone dominant (prepubertal) response. The features were suggestive of isolated premature menarche as no other cause was identified. The elder sibling established menarche and developed signs of consonant pubertal development at 12 years of age. The younger sibling remains under regular follow-up.ConclusionsNF1 has previously been associated with alterations in pubertal timing. We report, for the first time, two siblings with NF1 who presented with isolated menarche.

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